Learning Efficient Reactive Behavioral Sequences from Basic Reflexes in a Goal-Directed Autonomous Robot

摘要

This paper describes a reinforcement connectionist learning mechanism that allows a goaldirected autonomous mobile robot to adapt to an unknown indoor environment in a few trials.